A method for ICA with reference signals

Authors:
Jian-Xun Mi;Jie Gui
Affiliations:
Intelligent Computing Laboratory, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China and Departments of Automation, University of Science and Technology of C ...;Intelligent Computing Laboratory, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China and Departments of Automation, University of Science and Technology of C ...
Venue:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

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Abstract

This paper presents a novel method for independent component analysis (ICA) with reference signal. Instead of choosing the initial weight vector randomly as in other algorithms, our method employs the maximum correlation criterion to select the initial weight vector deliberately and uses FastICA to find the desired solution. No extra parameters are involved in ICA with reference by our method which is superior to some other algorithms.